{"id":"W4308871938","doi":"10.3390/rs14225668","title":"Superpixel and Supervoxel Segmentation Assessment of Landslides Using UAV-Derived Models","year":2022,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada; Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; State Scholarships Foundation","keywords":"Photogrammetry; Workflow; Point cloud; Segmentation; Structure from motion; Remote sensing; Geospatial analysis; Landslide; Computer science; Digital elevation model; Terrain; Orthophoto; Geology; Cartography; Artificial intelligence; Computer vision; Geography; Geomorphology; Motion (physics); Database","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004814549,0.0005809155,0.0004467751,0.001794459,0.000191081,0.001038754,0.0005294194,0.0005601014,0.0009614643],"category_scores_gemma":[0.0007391189,0.0002541128,0.0005461252,0.0007270509,0.0002388565,0.000405036,0.0004387004,0.000209554,0.0002931662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003529418,"about_ca_system_score_gemma":0.0004949247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006682034,"about_ca_topic_score_gemma":0.008961279,"domain_scores_codex":[0.999772,0.00002602619,0.00001358441,0.00007037668,0.00007575741,0.00004223095],"domain_scores_gemma":[0.9997115,0.00007097497,0.00004149977,0.00004879709,0.0001051055,0.00002211273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0005479914,0.000168454,0.01939252,0.000409513,0.0001278491,0.0003920299,0.0004757234,0.5812791,0.1316515,0.002691638,0.001878978,0.2609848],"study_design_scores_gemma":[0.000005689762,0.00004905286,0.008937387,0.00001608141,0.00002816106,0.00007004179,0.0001029271,0.9712534,0.01814583,0.0004237448,0.0009515301,0.00001621623],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6631955,0.0007310663,0.3285822,0.00009846643,0.00005534492,0.0001382437,0.0007404352,0.00180412,0.004654604],"genre_scores_gemma":[0.8720822,0.0003111765,0.12574,0.00002286594,0.00001229913,0.00003980106,0.0007042734,0.0001018539,0.0009855645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006682034,"threshold_uncertainty_score":0.01328629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02759397666072959,"score_gpt":0.2742982939986455,"score_spread":0.2467043173379159,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}